Contributed to a consulting project that modelled the cost-optimization problem to reduce the unit cost of key direct materials across biologics projects.

• Collected and validated input parameters, ensuring stakeholder alignment and realistic assumptions.

• Built a data-driven optimization model to recommend optimal ordering policies, inventory levels, and wastage reduction strategies.

• Analyzed model outputs and identified actionable solutions with quantified business impact.

• Delivered a procurement implementation strategy, translating analytical insights into practical recommendations for improved profitability and supply chain efficiency 

Conducted a performance benchmarking study across multiple hospital centres to evaluate operational efficiency.

Applied Data Envelopment Analysis (DEA) using two models:

• Global DEA: Compared all centres together, identified 16 efficient centres but risked unrealistic targets for low-output centres.

• Clustered DEA: Compared centres within peer groups (‘High’, ‘Moderate’, ‘Low’ performance clusters), identified 26 efficient centres with fairer benchmarks.

• Delivered insights on inefficiencies at underperforming centres and provided actionable recommendations for improvement.

• Implemented DEA models both in Python and in Excel, providing the client with transparent and replicable tools for ongoing analysis.